Lists and Statistics Technologies Blog Post

I think I have learned a lot more in these past three lessons over lists and statistics because I never took a statistics class in high school, so I have hardly used statistic features on the TI-83. Working with statistic features on Desmos was also new to me because I have never used Desmos in depth before. I think the most interesting thing I have learned has been how you can compare different lists to find things like the greatest overall value, the average, and more.

As I mentioned before I think these features could ultimately be used in almost any math class, but more importantly, I think they should be used when working on statistics because I feel like it provides a more thorough understanding. For example, if the students are given a set of data to input into list 1 and list 2 in the calculator and then create a scatterplot to see the correlation between the data. This gives the students a visual picture of the correlation, which most of the time helps them understand what it means better. This is also a good place, for perhaps a more advanced math class, to see which regression function provided on the calculator matches our scatterplot best and how that explains the correlation of data more.

I could see a lot of these features on the TI-83 and Desmos being used in a statistics class specifically, or even other math classes that cover a small area of statistics. For example, I did not take a statistics class in high school, but I did take Calculus 1 and 2, which covers a little bit of statistics. We never used any of these specific features on the TI-83 or Desmos while talking about statistics, but I think that might’ve helped me and other students grasp the topics we were covering better. I would most likely use this in a statistics course, which would probably be 10th, 11th, or 12th grade, and Calculus courses. However, I could also see these features coming in handy in a middle school math class when finding the mean or greatest or lowest value of a list.

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